[Remote] Senior DevSecOps / MLOps Engineer || Remote

Responsibilities

• Implement DevSecOps practices across CI/CD pipelines (Azure DevOps) for AI/ML workloads
• Secure Kubernetes (AKS) environments, including RBAC, network policies, and secrets management
• Integrate security scanning, vulnerability management, and compliance checks into pipelines
• Partner with Data Science, Platform, and Security teams to enforce secure MLOps practices
• Drive governance standards for data, models, and platform access (e.g., least privilege, auditability)

Skills

• Strong experience with Azure DevOps, CI/CD, and DevSecOps practices
• Hands-on expertise with Kubernetes (AKS) security and Azure cloud security controls
• Experience securing AI/ML platforms (Azure ML, Databricks)
• Knowledge of identity and access management, networking, and vulnerability management
• Terraform
• Policy-as-code
• Microsoft Defender
• Secrets management (Key Vault)
• Compliance frameworks

Company Overview

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